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Research Publications - Healthcare Diagnosis

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We research machine learning based disease diagnosis and prediction algorithms for movement disorders such as Parkinson's disease, cerebral palsy and juvenile dermatomyositis, as well as mental disorders such as schizophrenia and depersonalization-derealization disorder.

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Impact Factor 7.0+

RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis  Impact Factor: 7.5† Top 25% Journal in Computer Science, Artificial Intelligence†   Citation: 20#
Expert Systems with Applications (ESWA), 2022
Daniel Organisciak, Hubert P. H. Shum, Ephraim Nwoye and Wai Lok Woo
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Impact Factor 4.0+

A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants
A Pose-Based Feature Fusion and Classification Framework for the Early Prediction of Cerebral Palsy in Infants  Impact Factor: 4.8†    Citation: 36#
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2022
Kevin D. McCay, Pengpeng Hu, Hubert P. H. Shum, Wai Lok Woo, Claire Marcroft, Nicholas D. Embleton, Adrian Munteanu and Edmond S. L. Ho
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Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait
Automatic Musculoskeletal and Neurological Disorder Diagnosis with Relative Joint Displacement from Human Gait  REF 2021 Submitted Output Impact Factor: 4.8†    Citation: 27#
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 2018
Worasak Rueangsirarak, Jingtian Zhang, Nauman Aslam and Hubert P. H. Shum
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A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis
A Video-Based Augmented Reality System for Human-in-the-Loop Muscle Strength Assessment of Juvenile Dermatomyositis  Impact Factor: 4.7† Top 25% Journal in Computer Science, Software Engineering†   Citation: 13#
IEEE Transactions on Visualization and Computer Graphics (TVCG) - Proceedings of the 2023 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2023
Kanglei Zhou, Ruizhi Cai, Yue Ma, Qingqing Tan, Xinning Wang, Jianguo Li, Hubert P. H. Shum, Frederick W. B. Li, Song Jin and Xiaohui Liang
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Impact Factor 3.0+

A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
A Two-Stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction  Impact Factor: 3.5† Top 25% Journal in Health Care Sciences & Services†   
Journal of Medical Systems (JMS), 2022
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
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Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis
Unraveling the Brain Dynamics of Depersonalization-Derealization Disorder: A Dynamic Functional Network Connectivity Analysis  Impact Factor: 3.4†    
BMC Psychiatry, 2024
Sisi Zheng, Francis Xiatian Zhang, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
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Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features
Abnormal Infant Movements Classification with Deep Learning on Pose-Based Features  REF 2021 Submitted Output Impact Factor: 3.4†    Citation: 76#
IEEE Access, 2020
Kevin D. McCay, Edmond S. L. Ho, Hubert P. H. Shum, Gerhard Fehringer, Claire Marcroft and Nicholas Embleton
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Impact Factor 2.0+

Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video
Pose-Based Tremor Type and Level Analysis for Parkinson’s Disease from Video  Impact Factor: 2.3†    
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2024
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang, Silvia Del Din and Hubert P. H. Shum
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Impact Factor 1.0+

CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
CP-AGCN: Pytorch-Based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy  Impact Factor: 1.3†    
Software Impacts (SIMPAC), 2022
Haozheng Zhang, Edmond S. L. Ho and Hubert P. H. Shum
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Impact Factor 0.0+

Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI
Correlation-Distance Graph Learning for Treatment Response Prediction from rs-fMRI      
Proceedings of the 2023 International Conference on Neural Information Processing (ICONIP), 2023
Francis Xiatian Zhang, Sisi Zheng, Hubert P. H. Shum, Haozheng Zhang, Nan Song, Mingkang Song and Hongxiao Jia
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Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video
Pose-Based Tremor Classification for Parkinson’s Disease Diagnosis from Video    H5-Index: 96# Core A Conference‡ Citation: 18#
Proceedings of the 2022 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022
Haozheng Zhang, Edmond S. L. Ho, Francis Xiatian Zhang and Hubert P. H. Shum
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Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks  Oral Presentation     Citation: 11#
Proceedings of the 2022 International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2022
Haozheng Zhang, Hubert P. H. Shum and Edmond S. L. Ho
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Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention
Interpreting Deep Learning Based Cerebral Palsy Prediction with Channel Attention      Citation: 18#
Proceedings of the 2021 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2021
Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung and Hubert P. H. Shum
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Identifying Abnormal Gait in Older People during Multiple-Tasks Assessment with Audio-Visual Cues
Identifying Abnormal Gait in Older People during Multiple-Tasks Assessment with Audio-Visual Cues      
Proceedings of the 2018 International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2018), 2018
Worasak Rueangsirarak, Kitchana Kaewkaen and Hubert P. H. Shum
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An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations
An Intelligent Mobile-Based Automatic Diagnostic System to Identify Retinal Diseases using Mathematical Morphological Operations      Citation: 27#
Proceedings of the 2014 International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014
Mohamed Omar, Alamgir Hossain, Li Zhang and Hubert P. H. Shum
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† According to Journal Citation Reports 2023
‡ According to Core Ranking 2023
# According to Google Scholar 2024

 

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